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. 2024 Oct 25:15:1433948.
doi: 10.3389/fpsyt.2024.1433948. eCollection 2024.

Prevalence of psychiatric disorders among the adult population in a rural community of Jammu, India: a cross-sectional study

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Prevalence of psychiatric disorders among the adult population in a rural community of Jammu, India: a cross-sectional study

Sandeepa Bailam et al. Front Psychiatry. .

Abstract

Background: Mental health is crucial for overall well-being, but rural areas often face difficulties in accessing mental health services and understanding psychiatric disorders.

Aim: This study aimed to address these issues by assessing the prevalence of psychiatric disorders among adults in rural Jammu and examining how socio-cultural and demographic factors are related to these disorders.

Methods: A sample of 1,016 adults from rural Jammu was surveyed using the Mini International Neuropsychiatric Interview (MINI). Data were collected through house-to-house visits conducted by trained investigators. Descriptive and inferential statistics, including frequency distribution and odds ratio, were employed to analyze the data respectively.

Results: Overall, 20.67% of the participants had a psychiatric disorder. Alcohol dependence was the most common condition, affecting 12.30% of the individuals, followed by generalized anxiety disorder at 3.14%. The study found significant associations between psychiatric disorders and several factors. Specifically, older people were more likely to have psychiatric disorders, with an odds ratio of 3.7 [2.07-6.59]. Married individuals also had a higher likelihood of experiencing psychiatric disorders (OR: 2.3 [1.55-3.54]). Those with less schooling were at an increased risk, with an odds ratio of 7.77 [2.31-26.09], and people from lower socioeconomic backgrounds were more likely to have these disorders as well (OR: 5.1 [2.4-10.5]).

Discussion and conclusion: The findings underscore the complex association between socio-demographic factors and mental health outcomes in rural areas of Jammu region. Addressing these disparities requires targeted interventions and policies that account for the unique socio-cultural contexts of rural populations. By understanding the specific challenges faced by these communities, policymakers and healthcare providers can develop more effective strategies to enhance mental health services and promote well-being.

Keywords: Jammu; mental health disparities; psychiatric disorders; rural areas; socio-demographic factors.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Systematic representation of the recruitment of individuals for data collection.
Figure 2
Figure 2
(A) Bar graph illustrating the distribution of individuals across various age groups, highlighting a predominant presence within the 18-30 years cohort. (B) Bar graph delineating the distribution of individuals across distinct socio-economic strata, with a notable concentration within the middle-class segment [UM, Upper Middle; M, Middle; LM, Lower Middle; LC, Lower Class; BPL, Below Poverty Line]. (C) Bar graph portraying the distribution of individuals based on marital status [Widow/Divorce]. (D) Bar graph depicting the educational attainment levels of the surveyed populace [SSC, Secondary School; HSC, Higher Secondary School]. (E) Bar graph depicts the frequency distribution of social caste. [BW, Backward; SC, Scheduled Caste] (F) Bar graphs elucidating the prevalence rates of different psychiatric disorders, notably emphasizing a heightened occurrence of alcohol dependence.
Figure 3
Figure 3
Forest plot delineating the association between various socio-demographic variables and the overall prevalence of psychiatric disorders [BPL, Below Poverty Line; SSC, Secondary School; HSC, Higher Secondary School].
Figure 4
Figure 4
(A) Forest plot depicts the association between various factors and likelihood of psychiatric disorder in male (B) Forest plot depicts the association between various factors and likelihood of psychiatric disorder in female [BPL, Below Poverty Line; SSC, Secondary School; HSC, Higher Secondary School].

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